Overview

Dataset statistics

Number of variables	21
Number of observations	29165
Missing cells	9027
Missing cells (%)	1.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	16.4 MiB
Average record size in memory	590.8 B

Variable types

Numeric	8
Categorical	11
Boolean	2

Alerts

`Has a mobile phone` has constant value "1"	Constant
`Account age_x` is highly overall correlated with `Account age_y`	High correlation
`Account age_y` is highly overall correlated with `Account age_x`	High correlation
`Children count` is highly overall correlated with `Family member count`	High correlation
`Employment length` is highly overall correlated with `Employment status` and 1 other fields	High correlation
`Employment status` is highly overall correlated with `Employment length`	High correlation
`Family member count` is highly overall correlated with `Children count`	High correlation
`Gender` is highly overall correlated with `Job title`	High correlation
`Job title` is highly overall correlated with `Employment length` and 1 other fields	High correlation
`Education level` is highly imbalanced (50.6%)	Imbalance
`Dwelling` is highly imbalanced (73.3%)	Imbalance
`Has an email` is highly imbalanced (56.3%)	Imbalance
`Is high risk` is highly imbalanced (87.5%)	Imbalance
`Job title` has 9027 (31.0%) missing values	Missing
`ID` has unique values	Unique
`Children count` has 20143 (69.1%) zeros	Zeros

Reproduction

Analysis started	2026-01-05 18:40:36.854764
Analysis finished	2026-01-05 18:40:49.974365
Duration	13.12 seconds
Software version	ydata-profiling vv4.18.0
Download configuration	config.json

ID
Real number (ℝ)

Unique

Distinct	29165
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5078231.6

Minimum	5008804
Maximum	5150485
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.0 KiB

Quantile statistics

Minimum	5008804
5-th percentile	5018455.4
Q1	5042047
median	5074666
Q3	5114629
95-th percentile	5146012.8
Maximum	5150485
Range	141681
Interquartile range (IQR)	72582

Descriptive statistics

Standard deviation	41824.001
Coefficient of variation (CV)	0.008235938
Kurtosis	-1.2095593
Mean	5078231.6
Median Absolute Deviation (MAD)	38051
Skewness	0.084511077
Sum	1.4810662 × 10¹¹
Variance	1.749247 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5037048	1	< 0.1%
5044630	1	< 0.1%
5079079	1	< 0.1%
5112872	1	< 0.1%
5105858	1	< 0.1%
5100411	1	< 0.1%
5022817	1	< 0.1%
5009811	1	< 0.1%
5113922	1	< 0.1%
5021541	1	< 0.1%
Other values (29155)	29155	> 99.9%

Value	Count	Frequency (%)
5008804	1	< 0.1%
5008805	1	< 0.1%
5008806	1	< 0.1%
5008808	1	< 0.1%
5008810	1	< 0.1%
5008813	1	< 0.1%
5008814	1	< 0.1%
5008815	1	< 0.1%
5008819	1	< 0.1%
5008821	1	< 0.1%

Value	Count	Frequency (%)
5150485	1	< 0.1%
5150482	1	< 0.1%
5150481	1	< 0.1%
5150480	1	< 0.1%
5150478	1	< 0.1%
5150477	1	< 0.1%
5150468	1	< 0.1%
5150465	1	< 0.1%
5150464	1	< 0.1%
5150463	1	< 0.1%

Gender
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

F	19549
M	9616

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29165
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	F
3rd row	F
4th row	F
5th row	F

Common Values

Value	Count	Frequency (%)
F	19549	67.0%
M	9616	33.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
f	19549	67.0%
m	9616	33.0%

Most occurring characters

Value	Count	Frequency (%)
F	19549	67.0%
M	9616	33.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
F	19549	67.0%
M	9616	33.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
F	19549	67.0%
M	9616	33.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
F	19549	67.0%
M	9616	33.0%

Has a car
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	28.6 KiB

False	18128
True	11037

Value	Count	Frequency (%)
False	18128	62.2%
True	11037	37.8%

Has a property
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	28.6 KiB

True	19557
False	9608

Value	Count	Frequency (%)
True	19557	67.1%
False	9608	32.9%

Children count
Real number (ℝ)

High correlation Zeros

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.43079033

Minimum	0
Maximum	19
Zeros	20143
Zeros (%)	69.1%
Negative	0
Negative (%)	0.0%
Memory size	228.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	19
Range	19
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.74188219
Coefficient of variation (CV)	1.7221422
Kurtosis	23.798772
Mean	0.43079033
Median Absolute Deviation (MAD)	0
Skewness	2.5929624
Sum	12564
Variance	0.55038919
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	20143	69.1%
1	6003	20.6%
2	2624	9.0%
3	323	1.1%
4	52	0.2%
5	15	0.1%
7	2	< 0.1%
14	2	< 0.1%
19	1	< 0.1%

Value	Count	Frequency (%)
0	20143	69.1%
1	6003	20.6%
2	2624	9.0%
3	323	1.1%
4	52	0.2%
5	15	0.1%
7	2	< 0.1%
14	2	< 0.1%
19	1	< 0.1%

Value	Count	Frequency (%)
19	1	< 0.1%
14	2	< 0.1%
7	2	< 0.1%
5	15	0.1%
4	52	0.2%
3	323	1.1%
2	2624	9.0%
1	6003	20.6%
0	20143	69.1%

Income
Real number (ℝ)

Distinct	259
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	186890.39

Minimum	27000
Maximum	1575000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.0 KiB

Quantile statistics

Minimum	27000
5-th percentile	76500
Q1	121500
median	157500
Q3	225000
95-th percentile	360000
Maximum	1575000
Range	1548000
Interquartile range (IQR)	103500

Descriptive statistics

Standard deviation	101409.64
Coefficient of variation (CV)	0.54261563
Kurtosis	18.289145
Mean	186890.39
Median Absolute Deviation (MAD)	45000
Skewness	2.7571154
Sum	5.4506581 × 10⁹
Variance	1.0283916 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
135000	3468	11.9%
180000	2487	8.5%
157500	2469	8.5%
225000	2373	8.1%
112500	2359	8.1%
202500	1781	6.1%
90000	1395	4.8%
270000	1344	4.6%
315000	795	2.7%
247500	686	2.4%
Other values (249)	10008	34.3%

Value	Count	Frequency (%)
27000	1	< 0.1%
29250	3	< 0.1%
30150	3	< 0.1%
31500	15	0.1%
31531.5	3	< 0.1%
32400	3	< 0.1%
33300	9	< 0.1%
33750	1	< 0.1%
36000	3	< 0.1%
36900	6	< 0.1%

Value	Count	Frequency (%)
1575000	7	< 0.1%
1350000	5	< 0.1%
1125000	3	< 0.1%
990000	3	< 0.1%
945000	3	< 0.1%
900000	28	0.1%
810000	13	< 0.1%
787500	1	< 0.1%
765000	5	< 0.1%
742500	4	< 0.1%

Employment status
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

Working	15056
Commercial associate	6801
Pensioner	4920
State servant	2381
Student	7

Length

Max length	20
Median length	7
Mean length	10.8587
Min length	7

Characters and Unicode

Total characters	316694
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Working
2nd row	Commercial associate
3rd row	Commercial associate
4th row	Commercial associate
5th row	Working

Common Values

Value	Count	Frequency (%)
Working	15056	51.6%
Commercial associate	6801	23.3%
Pensioner	4920	16.9%
State servant	2381	8.2%
Student	7	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
working	15056	39.3%
commercial	6801	17.7%
associate	6801	17.7%
pensioner	4920	12.8%
state	2381	6.2%
servant	2381	6.2%
student	7	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
o	33578	10.6%
i	33578	10.6%
r	29158	9.2%
e	28211	8.9%
n	27284	8.6%
a	25165	7.9%
s	20903	6.6%
k	15056	4.8%
W	15056	4.8%
g	15056	4.8%
Other values (11)	73649	23.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	316694	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	33578	10.6%
i	33578	10.6%
r	29158	9.2%
e	28211	8.9%
n	27284	8.6%
a	25165	7.9%
s	20903	6.6%
k	15056	4.8%
W	15056	4.8%
g	15056	4.8%
Other values (11)	73649	23.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	316694	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	33578	10.6%
i	33578	10.6%
r	29158	9.2%
e	28211	8.9%
n	27284	8.6%
a	25165	7.9%
s	20903	6.6%
k	15056	4.8%
W	15056	4.8%
g	15056	4.8%
Other values (11)	73649	23.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	316694	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	33578	10.6%
i	33578	10.6%
r	29158	9.2%
e	28211	8.9%
n	27284	8.6%
a	25165	7.9%
s	20903	6.6%
k	15056	4.8%
W	15056	4.8%
g	15056	4.8%
Other values (11)	73649	23.3%

Education level
Categorical

Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Secondary / secondary special	19803
Higher education	7910
Incomplete higher	1129
Lower secondary	298
Academic degree	25

Length

Max length	29
Median length	29
Mean length	24.85462
Min length	15

Characters and Unicode

Total characters	724885
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Secondary / secondary special
2nd row	Higher education
3rd row	Secondary / secondary special
4th row	Higher education
5th row	Secondary / secondary special

Common Values

Value	Count	Frequency (%)
Secondary / secondary special	19803	67.9%
Higher education	7910	27.1%
Incomplete higher	1129	3.9%
Lower secondary	298	1.0%
Academic degree	25	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
secondary	39904	40.7%
	19803	20.2%
special	19803	20.2%
higher	9039	9.2%
education	7910	8.1%
incomplete	1129	1.2%
lower	298	0.3%
academic	25	< 0.1%
degree	25	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	79312	10.9%
c	68796	9.5%
	68771	9.5%
a	67642	9.3%
r	49266	6.8%
o	49241	6.8%
n	48943	6.8%
d	47864	6.6%
y	39904	5.5%
s	39904	5.5%
Other values (15)	165242	22.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	724885	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	79312	10.9%
c	68796	9.5%
	68771	9.5%
a	67642	9.3%
r	49266	6.8%
o	49241	6.8%
n	48943	6.8%
d	47864	6.6%
y	39904	5.5%
s	39904	5.5%
Other values (15)	165242	22.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	724885	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	79312	10.9%
c	68796	9.5%
	68771	9.5%
a	67642	9.3%
r	49266	6.8%
o	49241	6.8%
n	48943	6.8%
d	47864	6.6%
y	39904	5.5%
s	39904	5.5%
Other values (15)	165242	22.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	724885	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	79312	10.9%
c	68796	9.5%
	68771	9.5%
a	67642	9.3%
r	49266	6.8%
o	49241	6.8%
n	48943	6.8%
d	47864	6.6%
y	39904	5.5%
s	39904	5.5%
Other values (15)	165242	22.8%

Marital status
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Married	20044
Single / not married	3864
Civil marriage	2312
Separated	1712
Widow	1233

Length

Max length	20
Median length	7
Mean length	9.3100977
Min length	5

Characters and Unicode

Total characters	271529
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Married
2nd row	Single / not married
3rd row	Married
4th row	Single / not married
5th row	Separated

Common Values

Value	Count	Frequency (%)
Married	20044	68.7%
Single / not married	3864	13.2%
Civil marriage	2312	7.9%
Separated	1712	5.9%
Widow	1233	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
married	23908	55.5%
single	3864	9.0%
	3864	9.0%
not	3864	9.0%
civil	2312	5.4%
marriage	2312	5.4%
separated	1712	4.0%
widow	1233	2.9%

Most occurring characters

Value	Count	Frequency (%)
r	54152	19.9%
i	35941	13.2%
e	33508	12.3%
a	31956	11.8%
d	26853	9.9%
M	20044	7.4%
	13904	5.1%
n	7728	2.8%
l	6176	2.3%
g	6176	2.3%
Other values (10)	35091	12.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	271529	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	54152	19.9%
i	35941	13.2%
e	33508	12.3%
a	31956	11.8%
d	26853	9.9%
M	20044	7.4%
	13904	5.1%
n	7728	2.8%
l	6176	2.3%
g	6176	2.3%
Other values (10)	35091	12.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	271529	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	54152	19.9%
i	35941	13.2%
e	33508	12.3%
a	31956	11.8%
d	26853	9.9%
M	20044	7.4%
	13904	5.1%
n	7728	2.8%
l	6176	2.3%
g	6176	2.3%
Other values (10)	35091	12.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	271529	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	54152	19.9%
i	35941	13.2%
e	33508	12.3%
a	31956	11.8%
d	26853	9.9%
M	20044	7.4%
	13904	5.1%
n	7728	2.8%
l	6176	2.3%
g	6176	2.3%
Other values (10)	35091	12.9%

Dwelling
Categorical

Imbalance

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

House / apartment	26059
With parents	1406
Municipal apartment	912
Rented apartment	453
Office apartment	208

Length

Max length	19
Median length	17
Mean length	16.790125
Min length	12

Characters and Unicode

Total characters	489684
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	With parents
2nd row	House / apartment
3rd row	House / apartment
4th row	House / apartment
5th row	House / apartment

Common Values

Value	Count	Frequency (%)
House / apartment	26059	89.4%
With parents	1406	4.8%
Municipal apartment	912	3.1%
Rented apartment	453	1.6%
Office apartment	208	0.7%
Co-op apartment	127	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
apartment	27759	32.9%
house	26059	30.9%
	26059	30.9%
with	1406	1.7%
parents	1406	1.7%
municipal	912	1.1%
rented	453	0.5%
office	208	0.2%
co-op	127	0.2%

Most occurring characters

Value	Count	Frequency (%)
t	58783	12.0%
a	57836	11.8%
e	56338	11.5%
	55224	11.3%
n	30530	6.2%
p	30204	6.2%
r	29165	6.0%
m	27759	5.7%
s	27465	5.6%
u	26971	5.5%
Other values (15)	89409	18.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	489684	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	58783	12.0%
a	57836	11.8%
e	56338	11.5%
	55224	11.3%
n	30530	6.2%
p	30204	6.2%
r	29165	6.0%
m	27759	5.7%
s	27465	5.6%
u	26971	5.5%
Other values (15)	89409	18.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	489684	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	58783	12.0%
a	57836	11.8%
e	56338	11.5%
	55224	11.3%
n	30530	6.2%
p	30204	6.2%
r	29165	6.0%
m	27759	5.7%
s	27465	5.6%
u	26971	5.5%
Other values (15)	89409	18.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	489684	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	58783	12.0%
a	57836	11.8%
e	56338	11.5%
	55224	11.3%
n	30530	6.2%
p	30204	6.2%
r	29165	6.0%
m	27759	5.7%
s	27465	5.6%
u	26971	5.5%
Other values (15)	89409	18.3%

Age
Real number (ℝ)

Distinct	6794
Distinct (%)	23.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-15979.477

Minimum	-25152
Maximum	-7705
Zeros	0
Zeros (%)	0.0%
Negative	29165
Negative (%)	100.0%
Memory size	228.0 KiB

Quantile statistics

Minimum	-25152
5-th percentile	-23021
Q1	-19444
median	-15565
Q3	-12475
95-th percentile	-9873
Maximum	-7705
Range	17447
Interquartile range (IQR)	6969

Descriptive statistics

Standard deviation	4202.9975
Coefficient of variation (CV)	-0.26302471
Kurtosis	-1.0433005
Mean	-15979.477
Median Absolute Deviation (MAD)	3424
Skewness	-0.18225185
Sum	-4.6604146 × 10⁸
Variance	17665188
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-15519	44	0.2%
-12676	44	0.2%
-16896	33	0.1%
-16768	26	0.1%
-16053	26	0.1%
-14400	25	0.1%
-14122	24	0.1%
-14667	24	0.1%
-11126	24	0.1%
-22867	24	0.1%
Other values (6784)	28871	99.0%

Value	Count	Frequency (%)
-25152	1	< 0.1%
-25140	3	< 0.1%
-25099	1	< 0.1%
-25088	1	< 0.1%
-25010	2	< 0.1%
-24963	1	< 0.1%
-24946	3	< 0.1%
-24932	4	< 0.1%
-24914	3	< 0.1%
-24878	1	< 0.1%

Value	Count	Frequency (%)
-7705	1	< 0.1%
-7723	1	< 0.1%
-7757	3	< 0.1%
-7959	2	< 0.1%
-7980	1	< 0.1%
-8041	4	< 0.1%
-8054	1	< 0.1%
-8056	2	< 0.1%
-8069	1	< 0.1%
-8076	2	< 0.1%

Employment length
Real number (ℝ)

High correlation

Distinct	3483
Distinct (%)	11.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	59257.761

Minimum	-15713
Maximum	365243
Zeros	0
Zeros (%)	0.0%
Negative	24257
Negative (%)	83.2%
Memory size	228.0 KiB

Quantile statistics

Minimum	-15713
5-th percentile	-7264
Q1	-3153
median	-1557
Q3	-412
95-th percentile	365243
Maximum	365243
Range	380956
Interquartile range (IQR)	2741

Descriptive statistics

Standard deviation	137655.88
Coefficient of variation (CV)	2.3230018
Kurtosis	1.1433571
Mean	59257.761
Median Absolute Deviation (MAD)	1309
Skewness	1.7724256
Sum	1.7282526 × 10⁹
Variance	1.8949142 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
365243	4908	16.8%
-401	61	0.2%
-200	55	0.2%
-2087	53	0.2%
-1539	51	0.2%
-1678	47	0.2%
-1081	47	0.2%
-2531	46	0.2%
-1160	45	0.2%
-309	44	0.2%
Other values (3473)	23808	81.6%

Value	Count	Frequency (%)
-15713	1	< 0.1%
-15661	3	< 0.1%
-15227	1	< 0.1%
-15072	2	< 0.1%
-15038	13	< 0.1%
-14887	6	< 0.1%
-14810	6	< 0.1%
-14775	2	< 0.1%
-14536	4	< 0.1%
-14473	5	< 0.1%

Value	Count	Frequency (%)
365243	4908	16.8%
-17	2	< 0.1%
-65	1	< 0.1%
-66	1	< 0.1%
-70	2	< 0.1%
-71	1	< 0.1%
-73	14	< 0.1%
-78	1	< 0.1%
-79	1	< 0.1%
-88	1	< 0.1%

Has a mobile phone
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

1	29165

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29165
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	29165	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	29165	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	29165	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	29165	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	29165	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	29165	100.0%

Has a work phone
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	22623
1	6542

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29165
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	22623	77.6%
1	6542	22.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	22623	77.6%
1	6542	22.4%

Most occurring characters

Value	Count	Frequency (%)
0	22623	77.6%
1	6542	22.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	22623	77.6%
1	6542	22.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	22623	77.6%
1	6542	22.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	22623	77.6%
1	6542	22.4%

Has a phone
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	20562
1	8603

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29165
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	20562	70.5%
1	8603	29.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	20562	70.5%
1	8603	29.5%

Most occurring characters

Value	Count	Frequency (%)
0	20562	70.5%
1	8603	29.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	20562	70.5%
1	8603	29.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	20562	70.5%
1	8603	29.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	20562	70.5%
1	8603	29.5%

Has an email
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	26532
1	2633

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29165
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	26532	91.0%
1	2633	9.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	26532	91.0%
1	2633	9.0%

Most occurring characters

Value	Count	Frequency (%)
0	26532	91.0%
1	2633	9.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	26532	91.0%
1	2633	9.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	26532	91.0%
1	2633	9.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	26532	91.0%
1	2633	9.0%

Job title
Categorical

High correlation Missing

Distinct	18
Distinct (%)	0.1%
Missing	9027
Missing (%)	31.0%
Memory size	1.6 MiB

Laborers	5004
Core staff	2866
Sales staff	2773
Managers	2422
Drivers	1722
Other values (13)	5351

Length

Max length	21
Median length	20
Mean length	10.533916
Min length	7

Characters and Unicode

Total characters	212132
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Core staff
2nd row	Accountants
3rd row	Laborers
4th row	Managers
5th row	Accountants

Common Values

Value	Count	Frequency (%)
Laborers	5004	17.2%
Core staff	2866	9.8%
Sales staff	2773	9.5%
Managers	2422	8.3%
Drivers	1722	5.9%
High skill tech staff	1133	3.9%
Accountants	998	3.4%
Medicine staff	956	3.3%
Cooking staff	521	1.8%
Security staff	464	1.6%
Other values (8)	1279	4.4%
(Missing)	9027	31.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
staff	9672	29.7%
laborers	5142	15.8%
core	2866	8.8%
sales	2773	8.5%
managers	2422	7.4%
drivers	1722	5.3%
high	1133	3.5%
skill	1133	3.5%
tech	1133	3.5%
accountants	998	3.1%
Other values (13)	3567	11.0%

Most occurring characters

Value	Count	Frequency (%)
a	24637	11.6%
s	24596	11.6%
r	20552	9.7%
e	20460	9.6%
f	19344	9.1%
t	13921	6.6%
	12423	5.9%
o	10186	4.8%
i	8271	3.9%
n	6932	3.3%
Other values (26)	50810	24.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	212132	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	24637	11.6%
s	24596	11.6%
r	20552	9.7%
e	20460	9.6%
f	19344	9.1%
t	13921	6.6%
	12423	5.9%
o	10186	4.8%
i	8271	3.9%
n	6932	3.3%
Other values (26)	50810	24.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	212132	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	24637	11.6%
s	24596	11.6%
r	20552	9.7%
e	20460	9.6%
f	19344	9.1%
t	13921	6.6%
	12423	5.9%
o	10186	4.8%
i	8271	3.9%
n	6932	3.3%
Other values (26)	50810	24.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	212132	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	24637	11.6%
s	24596	11.6%
r	20552	9.7%
e	20460	9.6%
f	19344	9.1%
t	13921	6.6%
	12423	5.9%
o	10186	4.8%
i	8271	3.9%
n	6932	3.3%
Other values (26)	50810	24.0%

Family member count
Real number (ℝ)

High correlation

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.1975313

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	228.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	4
Maximum	20
Range	19
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.91218872
Coefficient of variation (CV)	0.41509704
Kurtosis	8.6454749
Mean	2.1975313
Median Absolute Deviation (MAD)	0
Skewness	1.3103351
Sum	64091
Variance	0.83208827
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	15552	53.3%
1	5613	19.2%
3	5121	17.6%
4	2503	8.6%
5	309	1.1%
6	48	0.2%
7	14	< 0.1%
9	2	< 0.1%
15	2	< 0.1%
20	1	< 0.1%

Value	Count	Frequency (%)
1	5613	19.2%
2	15552	53.3%
3	5121	17.6%
4	2503	8.6%
5	309	1.1%
6	48	0.2%
7	14	< 0.1%
9	2	< 0.1%
15	2	< 0.1%
20	1	< 0.1%

Value	Count	Frequency (%)
20	1	< 0.1%
15	2	< 0.1%
9	2	< 0.1%
7	14	< 0.1%
6	48	0.2%
5	309	1.1%
4	2503	8.6%
3	5121	17.6%
2	15552	53.3%
1	5613	19.2%

Account age_x
Real number (ℝ)

High correlation

Distinct	61
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-26.137734

Minimum	-60
Maximum	0
Zeros	247
Zeros (%)	0.8%
Negative	28918
Negative (%)	99.2%
Memory size	228.0 KiB

Quantile statistics

Minimum	-60
5-th percentile	-55
Q1	-39
median	-24
Q3	-12
95-th percentile	-3
Maximum	0
Range	60
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	16.486702
Coefficient of variation (CV)	-0.63076248
Kurtosis	-1.0342853
Mean	-26.137734
Median Absolute Deviation (MAD)	14
Skewness	-0.28850885
Sum	-762307
Variance	271.81133
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-7	690	2.4%
-6	669	2.3%
-17	659	2.3%
-5	656	2.2%
-8	655	2.2%
-10	645	2.2%
-11	642	2.2%
-16	642	2.2%
-9	629	2.2%
-12	628	2.2%
Other values (51)	22650	77.7%

Value	Count	Frequency (%)
-60	249	0.9%
-59	250	0.9%
-58	270	0.9%
-57	244	0.8%
-56	278	1.0%
-55	285	1.0%
-54	281	1.0%
-53	304	1.0%
-52	367	1.3%
-51	385	1.3%

Value	Count	Frequency (%)
0	247	0.8%
-1	444	1.5%
-2	519	1.8%
-3	626	2.1%
-4	625	2.1%
-5	656	2.2%
-6	669	2.3%
-7	690	2.4%
-8	655	2.2%
-9	629	2.2%

Is high risk
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	28666
1	499

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29165
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	28666	98.3%
1	499	1.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	28666	98.3%
1	499	1.7%

Most occurring characters

Value	Count	Frequency (%)
0	28666	98.3%
1	499	1.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	28666	98.3%
1	499	1.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	28666	98.3%
1	499	1.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	29165	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	28666	98.3%
1	499	1.7%

Account age_y
Real number (ℝ)

High correlation

Distinct	61
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-26.137734

Minimum	-60
Maximum	0
Zeros	247
Zeros (%)	0.8%
Negative	28918
Negative (%)	99.2%
Memory size	228.0 KiB

Quantile statistics

Minimum	-60
5-th percentile	-55
Q1	-39
median	-24
Q3	-12
95-th percentile	-3
Maximum	0
Range	60
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	16.486702
Coefficient of variation (CV)	-0.63076248
Kurtosis	-1.0342853
Mean	-26.137734
Median Absolute Deviation (MAD)	14
Skewness	-0.28850885
Sum	-762307
Variance	271.81133
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-7	690	2.4%
-6	669	2.3%
-17	659	2.3%
-5	656	2.2%
-8	655	2.2%
-10	645	2.2%
-11	642	2.2%
-16	642	2.2%
-9	629	2.2%
-12	628	2.2%
Other values (51)	22650	77.7%

Value	Count	Frequency (%)
-60	249	0.9%
-59	250	0.9%
-58	270	0.9%
-57	244	0.8%
-56	278	1.0%
-55	285	1.0%
-54	281	1.0%
-53	304	1.0%
-52	367	1.3%
-51	385	1.3%

Value	Count	Frequency (%)
0	247	0.8%
-1	444	1.5%
-2	519	1.8%
-3	626	2.1%
-4	625	2.1%
-5	656	2.2%
-6	669	2.3%
-7	690	2.4%
-8	655	2.2%
-9	629	2.2%

Interactions

Correlations

	Account age_x	Account age_y	Age	Children count	Dwelling	Education level	Employment length	Employment status	Family member count	Gender	Has a car	Has a phone	Has a property	Has a work phone	Has an email	ID	Income	Is high risk	Job title	Marital status
Account age_x	1.000	1.000	0.057	-0.005	0.013	0.012	0.077	0.015	-0.027	0.013	0.044	0.026	0.014	0.024	0.018	-0.002	-0.026	0.064	0.025	0.030
Account age_y	1.000	1.000	0.057	-0.005	0.013	0.012	0.077	0.015	-0.027	0.013	0.044	0.026	0.014	0.024	0.018	-0.002	-0.026	0.064	0.025	0.030
Age	0.057	0.057	1.000	0.379	0.111	0.123	-0.209	0.379	0.304	0.208	0.163	0.066	0.136	0.203	0.108	0.053	0.095	0.018	0.096	0.167
Children count	-0.005	-0.005	0.379	1.000	0.030	0.017	-0.142	0.071	0.825	0.063	0.086	0.020	0.007	0.056	0.004	0.027	0.043	0.000	0.058	0.078
Dwelling	0.013	0.013	0.111	0.030	1.000	0.051	0.114	0.062	0.067	0.083	0.041	0.040	0.204	0.039	0.027	0.032	0.052	0.008	0.072	0.055
Education level	0.012	0.012	0.123	0.017	0.051	1.000	0.147	0.096	0.028	0.014	0.106	0.057	0.042	0.046	0.095	0.042	0.109	0.005	0.204	0.047
Employment length	0.077	0.077	-0.209	-0.142	0.114	0.147	1.000	0.998	-0.145	0.175	0.154	0.010	0.096	0.242	0.086	-0.008	-0.162	0.000	1.000	0.211
Employment status	0.015	0.015	0.379	0.071	0.062	0.096	0.998	1.000	0.120	0.190	0.159	0.012	0.098	0.254	0.109	0.047	0.099	0.012	0.178	0.108
Family member count	-0.027	-0.027	0.304	0.825	0.067	0.028	-0.145	0.120	1.000	0.105	0.115	0.025	0.018	0.055	0.027	0.026	0.024	0.006	0.059	0.155
Gender	0.013	0.013	0.208	0.063	0.083	0.014	0.175	0.190	0.105	1.000	0.360	0.029	0.047	0.061	0.000	0.050	0.201	0.015	0.558	0.164
Has a car	0.044	0.044	0.163	0.086	0.041	0.106	0.154	0.159	0.115	0.360	1.000	0.010	0.011	0.017	0.016	0.058	0.206	0.000	0.272	0.152
Has a phone	0.026	0.026	0.066	0.020	0.040	0.057	0.010	0.012	0.025	0.029	0.010	1.000	0.065	0.312	0.010	0.065	0.046	0.000	0.067	0.042
Has a property	0.014	0.014	0.136	0.007	0.204	0.042	0.096	0.098	0.018	0.047	0.011	0.065	1.000	0.210	0.052	0.184	0.041	0.025	0.048	0.033
Has a work phone	0.024	0.024	0.203	0.056	0.039	0.046	0.242	0.254	0.055	0.061	0.017	0.312	0.210	1.000	0.035	0.127	0.035	0.000	0.062	0.068
Has an email	0.018	0.018	0.108	0.004	0.027	0.095	0.086	0.109	0.027	0.000	0.016	0.010	0.052	0.035	1.000	0.165	0.091	0.000	0.089	0.029
ID	-0.002	-0.002	0.053	0.027	0.032	0.042	-0.008	0.047	0.026	0.050	0.058	0.065	0.184	0.127	0.165	1.000	-0.022	0.016	0.064	0.042
Income	-0.026	-0.026	0.095	0.043	0.052	0.109	-0.162	0.099	0.024	0.201	0.206	0.046	0.041	0.035	0.091	-0.022	1.000	0.000	0.112	0.032
Is high risk	0.064	0.064	0.018	0.000	0.008	0.005	0.000	0.012	0.006	0.015	0.000	0.000	0.025	0.000	0.000	0.016	0.000	1.000	0.028	0.022
Job title	0.025	0.025	0.096	0.058	0.072	0.204	1.000	0.178	0.059	0.558	0.272	0.067	0.048	0.062	0.089	0.064	0.112	0.028	1.000	0.108
Marital status	0.030	0.030	0.167	0.078	0.055	0.047	0.211	0.108	0.155	0.164	0.152	0.042	0.033	0.068	0.029	0.042	0.032	0.022	0.108	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	ID	Gender	Has a car	Has a property	Children count	Income	Employment status	Education level	Marital status	Dwelling	Age	Employment length	Has a mobile phone	Has a work phone	Has a phone	Has an email	Job title	Family member count	Account age_x	Account age_y
0	5037048	M	Y	Y	0	135000.0	Working	Secondary / secondary special	Married	With parents	-16271	-3111	1	0	0	0	Core staff	2.0	-17.0	-17
1	5044630	F	Y	N	1	135000.0	Commercial associate	Higher education	Single / not married	House / apartment	-10130	-1651	1	0	0	0	Accountants	2.0	-1.0	-1
2	5079079	F	N	Y	2	180000.0	Commercial associate	Secondary / secondary special	Married	House / apartment	-12821	-5657	1	0	0	0	Laborers	4.0	-38.0	-38
3	5112872	F	Y	Y	0	360000.0	Commercial associate	Higher education	Single / not married	House / apartment	-20929	-2046	1	0	0	1	Managers	1.0	-11.0	-11
4	5105858	F	N	N	0	270000.0	Working	Secondary / secondary special	Separated	House / apartment	-16207	-515	1	0	1	0	NaN	1.0	-41.0	-41
5	5100411	F	Y	Y	0	135000.0	Working	Secondary / secondary special	Married	House / apartment	-13251	-3839	1	1	0	0	Accountants	2.0	-1.0	-1
6	5022817	M	Y	Y	0	202500.0	Working	Secondary / secondary special	Married	House / apartment	-17262	-1617	1	0	0	0	Core staff	2.0	-16.0	-16
7	5009811	F	N	N	1	202500.0	Working	Secondary / secondary special	Married	House / apartment	-11813	-3266	1	1	1	0	Sales staff	3.0	-21.0	-21
8	5113922	F	N	N	0	90000.0	Pensioner	Secondary / secondary special	Single / not married	Municipal apartment	-23478	365243	1	0	0	0	NaN	1.0	-50.0	-50
9	5021541	F	Y	N	1	306000.0	Working	Higher education	Married	House / apartment	-9310	-1678	1	0	0	0	NaN	3.0	-13.0	-13

	ID	Gender	Has a car	Has a property	Children count	Income	Employment status	Education level	Marital status	Dwelling	Age	Employment length	Has a mobile phone	Has a work phone	Has a phone	Has an email	Job title	Family member count	Account age_x	Account age_y
29155	5021871	F	Y	Y	1	315000.0	State servant	Higher education	Widow	House / apartment	-18233	-425	1	0	1	1	NaN	2.0	-30.0	-30
29156	5009779	M	N	N	0	135000.0	Working	Secondary / secondary special	Separated	House / apartment	-14118	-3174	1	0	0	0	Laborers	1.0	-4.0	-4
29157	5010913	F	Y	Y	0	81000.0	Pensioner	Higher education	Married	House / apartment	-20399	365243	1	0	0	0	NaN	2.0	-43.0	-43
29158	5065502	F	Y	N	1	135000.0	Working	Higher education	Married	Municipal apartment	-12523	-2482	1	0	0	0	Managers	3.0	-13.0	-13
29159	5091339	F	N	Y	0	135000.0	Commercial associate	Secondary / secondary special	Married	House / apartment	-11088	-1447	1	0	1	0	Cooking staff	2.0	-3.0	-3
29160	5067139	F	N	Y	0	112500.0	Pensioner	Secondary / secondary special	Single / not married	House / apartment	-23400	365243	1	0	1	1	NaN	1.0	-5.0	-5
29161	5029193	F	N	Y	1	135000.0	Commercial associate	Secondary / secondary special	Married	House / apartment	-15532	-8256	1	0	0	0	Core staff	3.0	-24.0	-24
29162	5047710	F	N	Y	0	76500.0	Working	Secondary / secondary special	Married	House / apartment	-17782	-3291	1	1	1	0	Managers	2.0	-29.0	-29
29163	5009886	F	N	Y	0	157500.0	Pensioner	Secondary / secondary special	Civil marriage	House / apartment	-21635	365243	1	0	1	0	NaN	2.0	-37.0	-37
29164	5062632	F	N	Y	0	585000.0	Commercial associate	Secondary / secondary special	Married	House / apartment	-18858	-2010	1	0	1	0	NaN	2.0	-43.0	-43

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)